Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach
Document Type
Journal Article
Keywords
Phishing attacks, lexical analysis, URLs, emails
Faculty
Faculty of Computing, Health and Science
School
ECU Security Research Institute
RAS ID
14722
Abstract
This is a study that focuses on enhancing the mitigation of bulk phishing email messsages (i.e. email messages with generic socially engineered content that target a broad range of recipients). This study is based on a phishing website detection technique that we have proposed previously. The previously proposed technique was able to achieve 97% of classification accuracy of anti-phishing email filters enhance when they incorporate the proposed lexical URL analysis technique. To evaluate the claims, a highly accurate anti-phishing email classifier is constructed and tested against publicly available phishing and legitimate email data sets.
Access Rights
free_to_read
Comments
Khonji, M., Iraqi, Y., & Jones, A. (2013). Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach. International Journal for Information Security Research, 3(1), 236-245. Available here